Ching-Fun Chang
- Plant Science top 10%
- Molecular Biology
- Insect Science top 10%
- Pharmacology
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Saburo TamuraAkinori SuzukiS. KumaiShigeo MURAKOSHIAkira SakuraiToshiya KamikadoAkira IsogaiNobutaka Takahashi
- Topics
- Silkworms and Sericulture Research (12 papers)Silk-based biomaterials and applications (7 papers)Microbial Natural Products and Biosynthesis (5 papers)
In The Last Decade
Ching-Fun Chang
29 papers receiving 274 citations
Peers
Comparison fields: 5 of 45
- Plant Science 184
- Molecular Biology 88
- Insect Science 63
- Pharmacology 38
- Ecology, Evolution, Behavior and Systematics 34
Countries citing papers authored by Ching-Fun Chang
This map shows the geographic impact of Ching-Fun Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ching-Fun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Fun Chang more than expected).
Fields of papers citing papers by Ching-Fun Chang
This network shows the impact of papers produced by Ching-Fun Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ching-Fun Chang. The network helps show where Ching-Fun Chang may publish in the future.
Co-authorship network of co-authors of Ching-Fun Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Fun Chang. A scholar is included among the top collaborators of Ching-Fun Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ching-Fun Chang. Ching-Fun Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 16 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 0 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | Aspochracin, a New Insecticidal Metabolite of Aspergillus ochraceus:Part I. Isolation, Structure and Biological Activities | 5 |
| 15 | Aspochracin, a New Insecticidal Metabolite of Aspergillus ochraceus :Part II. Synthesis of Hexahydroaspochracin | 1 |
| 16 | 25 | |
| 17 | 27 | |
| 18 | 23 | |
| 19 | 40 | |
| 20 | 8 |
About Ching-Fun Chang
Ching-Fun Chang is a scholar working on Insect Science, Biomaterials and Pharmacology, having authored 31 papers that have together received 310 indexed citations. Recurring topics across this work include Silkworms and Sericulture Research (12 papers), Silk-based biomaterials and applications (7 papers) and Microbial Natural Products and Biosynthesis (5 papers). The work is most often cited by research in Insect Science (63 citations), Plant Science (184 citations) and Biochemistry (19 citations). Ching-Fun Chang has collaborated with scholars based in Japan, China and Russia. Frequent co-authors include Saburo Tamura, Akinori Suzuki, S. Kumai, Shigeo MURAKOSHI, Akira Sakurai, Toshiya Kamikado, Akira Isogai, Nobutaka Takahashi, Nobutaka Takahashi and Akira Isogai. Their work appears in journals such as Tetrahedron Letters, Applied Entomology and Zoology and Japanese Journal of Applied Entomology and Zoology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.